Customer-Segmentation-Clustering-and-Analysis-in-Python

Completed by Angela Diamidia

Problem statement

Understand the target Customers for the marketing team to plan a strategy.

Context

Identify the most important shopping groups based on income, age, and the mall shopping score.

Objective

The objective is to divide the mall target into approachable groups, by creating a subset of a market based on demographics behavioral criteria to better understand the target for marketing activities.

The Approach

1. EDA (Exploratory Data Analysis)
2. KMEANS Clustering Algorithm to create our segments
3. Summary statistics on the clusters
4. Visualization

Steps to solve the problem

Using Python (Jupyter notebook)

1. Importing Libraries
2. Exploration of data
3. Data Visualization
4. Clustering using K-Means
5. Selection of Clusters
6. Plotting the Cluster Boundary and Clusters
7. 3D Plot of Clusters